水轮机调速系统的线性自抗扰优化控制  

Optimized Linear Active Disturbance Rejection Controller Design for Hydraulic Turbine Governing Systems

作　　者：黄宇[1] 王佳荣[1] 

机构地区：[1]华北电力大学河北省发电过程仿真与优化控制工程技术研究中心,保定071003

出　　处：《系统仿真学报》2016年第12期3033-3040,共8页Journal of System Simulation

基　　金：中央高校基本科研业务费专项资金(2015MS66)

摘　　要：针对线性自抗扰控制器参数较多、调节起来较为困难的缺点。提出一种基于下山单纯形法的引力搜索算法,该算法将下山单纯形法的替换机制融入到引力搜索算法粒子的更新中,利用单纯形法具有较强的局部搜索能力,有效克服了引力搜索算法陷入局部最优的缺点。将本文提出的算法应用于水轮机调速系统的线性自抗扰控制器参数优化。仿真结果表明:优化后的线性自抗扰控制器能够很好的抑制超调、减小负调并缩短调节时间,在系统工况发生变化时,仍有良好的控制效果,具有较强的鲁棒性,且能够取得比PID控制更好的抗干扰性能。The linear active disturbance rejection control is difficult to obtain good control effect as its parameters are not easy to get. A gravitational search algorithm based on Nelder-Mead （ARM） simplex search was presented. The replace mechanism of NM simplex search and the particles update method of gravitational search algorithm were combined together in this algorithm. Simplex method has strong local search ability, therefore, the algorithm can overcome the shortcomings of gravitational search algorithm plunging into the local optimal. The proposed algorithm was applied to the parameter optimization of linear active disturbance rejection controller of hydraulic turbine governor system. Simulation results show that： the optimized linear active disturbance rejection control can well suppress overshoot, reduce the negative tone and shorten adjustment time. When system conditions change, control results are still satisfactory. The control performance is much better than PID controller in anti-interference as it has strong robustness.

关 键 词：水轮机调速系统 线性自抗扰控制 引力搜索算法 下山单纯形法 

分 类 号：TK730[交通运输工程—轮机工程]